PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-12 10:19:33.677957+00:00 (UTC)
In US/Central Time, this is 2024-03-12 05:19:33.677957-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/7de24a545ff5c4fcc9bb7e852fd76b86197d4b3673c6455b61163106aef15818.png
We are just generating a random time serie here.
import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')
<Axes: title={'center': 'Shakepeare'}>
../../_images/92a49538e66116fefe18b9bfe24e3a4ef066c1141b70113e35f963f028b113b4.png
../../_images/5614e402c2d90d69677fc2164953cdd9d979b3ff0d1dce9eabd93580995986a6.png
../../_images/78b59e075fb07356e8ab346912e988c01d4d82f544a487245411cf7e2b6417e0.png